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Paper Citation Record · LEDGER

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark

As of 21 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2606.12343.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.12343 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T08:14:25.177155Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 11d61184-73a3-4333-a4ae-867f3828351f · outbound

This paper cites Equilibrium in the computing continuum through active inference,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Equilibrium in the computing continuum through active inference,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:97791763fae0f81d7f25bb79b425476f507f84f207736f7f0c62328449ae94bb

Observation 9c2f2341-ab1f-45db-bb4c-feb010e32d6f · outbound

This paper cites Benchmarking dynamic slo compliance in distributed computing continuum systems,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Benchmarking dynamic slo compliance in distributed computing continuum systems,

Reference 2

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:e46e8b79f6f269cb3e9c1e02f436227d712f1de746ad70c9b1d8658611036144

Observation c397685d-c3c8-4251-81fb-118b1dad1a1f · outbound

This paper cites Live video analytics at scale with approximation and delay-tolerance,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Live video analytics at scale with approximation and delay-tolerance,

Reference 3

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:4b5a6bce10bd09890a51982748251c04c61ddd99c5d207d4136ae253a0e5b049

Observation 86217e82-0a6b-4d53-9085-f60cf1936130 · outbound

This paper cites Serving DNNs like clockwork: Performance predictability from the bottom up,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Serving DNNs like clockwork: Performance predictability from the bottom up,

Reference 4

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:d44385a047e0639d4d1ee694009a52bc5453c7460271130e68a63be0ad0d78d4

Observation afbed1f0-e351-4bbb-ac42-435726354f50 · outbound

This paper cites Learning scheduling algorithms for data processing clusters,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Learning scheduling algorithms for data processing clusters,

Reference 5

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:ea39753f10abe4d55bb507e20e887d008b1912023956d037bd725baf40487609

Observation fe25a89f-f3fe-41eb-80ec-afa77e777469 · outbound

This paper cites Active inference-based adaptive routing for heterogeneous edge AI services,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Active inference-based adaptive routing for heterogeneous edge AI services,

Reference 6

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:bee01f34c12f0664ef5279f795ed500552405ace4c394a575df2d5e70927ef31

Observation 3bd1549e-bd6b-4ae7-9b35-7601b08c1e32 · outbound

This paper cites Adaptive stream processing on edge devices through active inference,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Adaptive stream processing on edge devices through active inference,

Reference 7

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:24b0497903559a781a85a306611750db41cf327e9466ab0bd64e75134fa2ed3a

Observation c6159ab2-bb5b-408c-a25f-94a423d524e1 · outbound

This paper cites Chameleon: Scalable adaptation of video analytics,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Chameleon: Scalable adaptation of video analytics,

Reference 8

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:9ec7fc882ddbf87dca82e2f2fc6b55a1830c31b4a2bc3c7cf5ffac38467c0753

Observation 64f4d8d3-97c4-47a3-a4f3-bb10e801e735 · outbound

This paper cites Neural adaptive video streaming with Pensieve,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Neural adaptive video streaming with Pensieve,

Reference 9

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:abe3676c04bc57edcf732fb11b0df87d390fc6eb1f90d047bc25ed307f793db4

Observation 00b0f9f5-31de-4110-a985-1dd291ccda26 · outbound

This paper cites Joint configuration adaptation and bandwidth allocation for edge-based real- time video analytics,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Joint configuration adaptation and bandwidth allocation for edge-based real- time video analytics,

Reference 10

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:3ffdee7cc19d95e30ff2082906af18f22301c7de3416a77e83d29ffb086f68b5

Observation d8de9cb5-f9a3-4358-a8c8-241a2aca8f8c · outbound

This paper cites MLPerf inference benchmark,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark MLPerf inference benchmark,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:a711c6ef8f2072a3e9c98411bf87edb47f0e5dddd3e659284914f80bfe893f47

Observation c8dc2b79-aaf0-4973-86cb-28ef7f55cf89 · outbound

This paper cites MLPerf training benchmark,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark MLPerf training benchmark,

Reference 12

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:cb4d735ff736693c0ae547004866a8ef87190370a017621b043e6cb1a8a7b0c4

Observation d12ca02f-c494-40ae-ad56-5c0241acd953 · outbound

This paper cites An open-source benchmark suite for microservices and their hardware-software implications for cloud and edge systems,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark An open-source benchmark suite for microservices and their hardware-software implications for cloud and edge systems,

Reference 13

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:11730c88ae52b7b692e1b9ceb2dede091a919dbb1159f8b11953aacddfa82399

Observation e8026dea-33a1-4156-aa4c-05fcaaf60033 · outbound

This paper cites BUNGEE: An elasticity benchmark for self-adaptive IaaS cloud environments,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark BUNGEE: An elasticity benchmark for self-adaptive IaaS cloud environments,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:1ad7664ad07f61c4379b95b9919c8b0b6a3cac07f4bb2d7fbefd97b21e0e612d

Observation c4a0fa68-7f2d-480c-ae31-ce8aeddc7861 · outbound

This paper cites Ultralytics yolov8,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Ultralytics yolov8,

Reference 15

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source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:adab51b95303accbdbebacd084933cef3c11f4ed7deb9423b6115cfae7951de4

Observation 729192f2-de22-40d8-b29a-ded9e823deaf · outbound

This paper cites Deep reinforcement learning with double Q-learning,.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Deep reinforcement learning with double Q-learning,

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:67ea5513d5de979520a6223cc7df21f1769b30cc2e592a884405acae6cf967fe

Observation 70886699-6c14-44c1-9879-055aa12f41e2 · outbound

This paper cites an unresolved cited work.

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Unresolved cited work

Reference 17

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no resolver link, observed 2026-06-27T08:14:25.177155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T08:14:25.177155Z digest=sha256:0ac89faa8aad51d47498561448c16534d6733e369a25bf7fb138c0d97dd00228

Pith citing papers

No inbound Pith citation observations are available.